Course Syllabus

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Introduction to the course. Planning and Scheduling in Manufacturing and services, M. L.. Pinedo, 2005, Springer Chapter 1. 2. Mathematical. Programming and.
Course Name

Code Semester

Sequencing and ISE Scheduling 480 Prerequisites

Theory Application/Laboratory Local ECTS (hour/week) (hour/week) Credits

Fall/Spring 3

ISE 203

0

3

4

To Have Taken And Passed The Exam

Course English Language Course Type Elective Course Level First Cycle Course Coordinator 

Doç. Dr. Mustafa Arslan ÖRNEK

Course Lecturer(s) Course Assistants Course Objectives

Course Learning Outcomes

The purpose of this highly quantitative course is to introduce students to a broad range of scheduling problems that arise in both manufacturing and service organizations, and to teach scheduling techniques, starting from basic principles, and leading to algorithms and computerized scheduling systems. The topics include machine scheduling and job shop scheduling, flexible assembly systems, interval scheduling, and workforce scheduling. The emphasis will be on systems design and implementation. 

Will be able to use methods and techniques that are available for building scheduling systems in different manufacturing systems



Will be able to develop mathematical models for dealing with scheduling problems



Will be able to analyze the results of software packages that are designed to solve scheduling problems



Course Content

Will be able to describe applications in practice

The topics include machine scheduling and job shop scheduling, flexible assembly systems, interval scheduling, and workforce scheduling. The emphasis will be on systems design and implementation.

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES Week 1 2 3 4 5 6

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12 13 14 15 16

Subjects Related Preparation Introduction to the Planning and Scheduling in Manufacturing and services, M. L. course Pinedo, 2005, Springer Chapter 1 Mathematical Planning and Scheduling in Manufacturing and services, M. L. Programming and Pinedo, 2005, Springer App A Heuristics Deterministic Models: Planning and Scheduling in Manufacturing and services, M. L. Preliminaries Pinedo, 2005, Springer Chapter 2 and 3 Single Machine Production Planning and Industrial Scheduling, D. R. Sule, Scheduling CRC Press, 2008 Chapter 6 Single Machine Production Planning and Industrial Scheduling, D. R. Sule, Scheduling CRC Press, 2008 Chapter 6 Other objectives in Production Planning and Industrial Scheduling, D. R. Sule, Single Machine CRC Press, 2008 Chapter 7 Scheduling Other objectives in Production Planning and Industrial Scheduling, D. R. Sule, Single Machine CRC Press, 2008 Chapter 7 Scheduling Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Springer Chapters 1,2,3, App A, Production Midterm Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008, Chapters 6 and 7 Scheduling of Planning and Scheduling in Manufacturing and services, M. L. Flexible Assembly Pinedo, 2005, Springer Chapter 6 Systems Scheduling of Planning and Scheduling in Manufacturing and services, M. L. Flexible Assembly Pinedo, 2005, Springer Chapter 6 Systems Planning and Scheduling in Manufacturing and services, M. L. Job Shop Scheduling Pinedo, 2005, Springer Chapter 7, Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008 Chapter 11 Planning and Scheduling in Manufacturing and services, M. L. Job Shop Scheduling Pinedo, 2005, Springer Chapter 7, Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008 Chapter 11 Planning and Scheduling in Manufacturing and services, M. L. Interval Scheduling Pinedo, 2005, Springer Chapter 11 Planning and Scheduling in Manufacturing and services, M. L. Workforce Pinedo, 2005, Springer Chapter 12, Production Planning and Scheduling Industrial Scheduling, D. R. Sule, CRC Press, 2008 Chapter 13 Project presentations -

SOURCES Course Notes

Production Planning and Industrial Scheduling, D. R. Sule, CRC Press, 2008

Principles of Sequencing and Scheduling, K. Baker and D. Trietsch, Wiley, 2007 Other Planning and Scheduling in Manufacturing and services, M. L. Pinedo, 2005, Sources Springer

EVALUATION SYSTEM Semester Requirements Number Percentage of Grade 1 10 Attendance Laboratory Application Field Work Special Course Internship Quizzes 10 Homework Assignments 1 1 15 Presentation Project Seminar 25 Midterms / Oral Exams 1 1 40 Final / Oral Exam Total 5 100 PERCENTAGE OF SEMESTER WORK - 60 PERCENTAGE OF FINAL WORK - 40 Total 0 100

COURSE CATEGORY Core Courses Major Area Courses X Course Category Supportive Courses (Only one category will be chosen) Media and Managment Skills Courses Transferable Skill Courses -

THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES AND PROGRAM COMPETENCIES

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Program Compentencies / Outcomes

Have the ability to optimize the managerial decisionmaking processes with the assessment of quality in production and service systems using 1 Industrial Systems Engineering tools and techniques such as simulation, optimization, probability and statistics, and analyze, interpret and assess data obtained. Be able to design integrated business systems with a systems approach 2 based on the business requirements by generating and developing multiple alternatives Can identify, analyze and develop solutions based on scientific evidence 3 to Industrial Systems Engineering problems encountered in practice Have the ability to identify the problems in Industrial Systems Engineering issues such as resource allocation, production planning and scheduling, quality control and assurance, financial analysis, and risk 4 analysis, etc. and find the optimal solution by developing multiple solutions for these problems using quantitative analysis and critical thinking techniques with systems approach Be able to take responsibility for him/herself and for colleagues and 5 employees to solve unpredicted complex problems encountered in practice individually or as a group member Have the ability to evaluate the knowledge and skills obtained in 6 Industrial Systems Engineering, be able to identify the topics which require improvement, and direct learning efforts to improve these points Can present and share knowledge, thoughts, and suggestions for solutions to problems related to the Industrial Systems Engineering with colleagues 7 using written and oral communication tools to both specialist and nonspecialist audiences supported by quantitative and qualitative data Ability to follow the developments in the field of Industrial Systems 8 Engineering and ability to communicate with colleagues using a foreign language. ("European Language Portfolio Global Scale", Level B1) Ability to use software programs related to Industrial Systems Engineering and to have the knowledge and skills to learn and use 9 software programs, information and communication technologies faced in practice. (“European Computer Driving License", Advanced Level) Understanding of social consciousness and to value social rights and 10 justice. To value quality management and quality processes related to environment and job safety Ability to consider social, scientific, and ethical values in data collection, 11 interpretation, and implementation stages of the Industrial Systems Engineering problems and projects *1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

* Level of Contribution 1 2 3 4 5

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ECTS / WORKLOAD TABLE Activities Number Duration (Hours) Total Workload Course Hours 16 3 48 Laboratory Application Special Course Internship Field Work Study Hours Out of Class 15 2 30 Presentations / Seminar 1 5 5 Project Homework Assignments 4 3 12 Quizzes Midterms / Oral Exams 1 10 10 Final / Oral Exam 1 15 15 Total Workload 120